JP2022163262A - Molding machine, diagnosis program, and molding method - Google Patents

Abstract

To preserve a tie bar and a mold of a molding machine by prevention, and automate parallelization quality determination between platens.SOLUTION: A die cast machine 1 includes: a fixed platen 3 provided with a fixed mold 2; a movable platen 5 provided with a movable mold 4; a mold clamping device 20 for performing mold clamping by a tension applied to a tie bar 21; a distortion measurement part 40 for measuring distortion of the tie bar 21 to which the tension is applied; and a control device 30 used in quality determination for the die cast machine 1. The control device 30 includes: a master data registration part 301 for registering master data relating to the measurement value measured by the distortion measurement part 40 in reference time of use change of characteristics of the die cast machine 1 in a predetermined set region; and a quality determination part 302 for determining the quality by comparison of measurement data D1 relating to the measurement value measured by the distortion measurement part 40 with the master data DM after registration of the master data.SELECTED DRAWING: Figure 6

Description

The present invention relates to a molding machine such as a die casting machine and an injection molding machine, a diagnostic program capable of diagnosing changes in characteristics of the molding machine, and a molding method.

In order to keep the die casting machine sound and operate normally, strain gauges are used to measure the strain caused by elongation of the tie bars at the completion of mold clamping, and it is detected that the measured value is within a predetermined normal range. In addition, if the movable platen does not reach the predetermined mold clamping completion position within a certain period of time from the start of mold clamping due to adhesion of foreign matter such as solidified molten metal to the mold, it is determined that mold clamping is abnormal and the machine operates. is stopping
When maintaining the die casting machine, measure the distance between the mold mounting surface of the fixed platen and the mold mounting surface of the movable platen in the vicinity of each of the four tie bars, and use the parallelism calculated from these distances as the standard. It judges whether it is good or bad by comparing it with the value.

Patent Document 1, which relates to an injection molding machine, measures the amount of tie bar elongation due to the maximum injection pressure, and based on the amount of mold opening that correlates with the amount of elongation of the tie bar, applies a necessary and sufficient clamping force to prevent burrs. described to be set.

Japanese Patent Application Laid-Open No. 2004-160682

For example, the following problems exist with respect to the background art described above.
(1) If deterioration progresses due to use of the tie bar and wear or damage occurs in the tie bar or bushing, the measured value of the strain of the tie bar deviates from the normal range. At that time, even if it is possible to detect the occurrence of an abnormality in the tie bars, it is not possible to know the degree of change in the tie bars over time.
(2) The parallelism calculated from the distance between the platens measured using a micrometer in the vicinity of each of the four tie bars requires manpower and time to measure the distance, calculate the parallelism, and judge whether it is good or bad. It is necessary to stop the die casting machine in order to measure the distance between the platens. Further, although it is possible to calculate the degree of parallelism while the machine is stopped from the measured distance and judge whether it is good or bad, it is impossible to judge whether the parallelism is good or bad by calculating the degree of parallelism while the machine is in operation.
(3) In order to detect mold clamping abnormality due to adhesion of foreign matter, it takes a certain period of time from the start of the mold clamping process. In other words, until the machine stops due to the detection of mold clamping abnormality, mold clamping continues with the foreign object caught in the mold.

An object of the present invention is to solve the above problems (1) to (3) with respect to molding machines such as die casting machines and injection molding machines.

The molding machine of the present invention includes a stationary platen provided with a stationary mold, a movable platen provided with a movable mold, a mold clamping device that performs mold clamping by tension applied to tie bars, and tie bars to which tension is applied. and a control device used to determine whether the molding machine is good or bad.
The control device includes a master data registration unit for registering master data relating to measurement values measured by the strain measurement unit when the characteristics of the molding machine are measured by the strain measurement unit when the characteristics of the molding machine change in use, in a predetermined setting area, and measurement by the strain measurement unit after the registration of the master data. a pass/fail judgment unit that judges pass/fail by comparing the measurement data related to the measured values with the master data.

"Change in use" of properties refers to changes in the properties of an object (eg, wear and corrosion) caused by continuous or intermittent use of the object over a period of time, or changes in the condition of the object over time. "Change in use" includes change over time and change over time.

In the molding machine of the present invention, preferably, the master data and the measurement data correspond to the strain of the tie bars, and the difference between the master data and the measurement data corresponds to the use change of the strain.

In the molding machine of the present invention, the master data registration unit registers master data corresponding to the strain change curve from before the occurrence of strain in the tie bars to the completion of mold clamping in the setting area. It is preferable to determine the quality by comparing the measurement data and the master data while acquiring the measurement data corresponding to the strain change curve until the mold clamping is completed.

The molding machine of the present invention includes a plurality of strain measurement units corresponding to the plurality of tie bars included in the mold clamping device, and the master data registration unit stores measurement values of each of the plurality of strain measurement units as master data for each tie bar. Register as
It is preferable that the pass/fail judgment unit judges pass/fail of each of the plurality of tie bars by comparing measurement data obtained for each tie bar, which is a measurement value obtained by each of the plurality of strain measurement units, with the master data.

The molding machine of the present invention includes: a plurality of strain measuring units corresponding to a plurality of tie bars included in a mold clamping device; a parallelism quality determination unit, wherein the master data registration unit registers measurement values obtained by each of the plurality of strain measurement units as master data for each tie bar, and the parallelism quality determination unit uses each of the plurality of strain measurement units. It is preferable to determine whether the parallelism is good or bad by comparing the measured data obtained for each tie bar with the master data.

The molding machine of the present invention includes: a plurality of strain measuring units corresponding to a plurality of tie bars included in a mold clamping device; and a parallelism judging unit, wherein the parallelism judging unit judges the parallelism by comparing the parallelism derived from the correlation of the measurement values measured by each of the plurality of strain measuring units with a reference parallelism. It is preferable to judge

The molding machine of the present invention includes a mold clamping abnormality detection unit that detects mold clamping abnormality based on the elapsed time from the point before the generation of distortion until the generation of distortion indicated by the measurement value by the distortion measurement unit, and master data The registration unit registers master data corresponding to at least the strain change curve before and after the occurrence of strain in the setting area, and the mold clamping abnormality detection unit registers at least the strain change curve before and after the time when the strain occurs. The mold clamping abnormality is detected by comparing the elapsed time based on the corresponding measurement data with the elapsed time based on the master data. is preferably deactivated.

The molding machine of the present invention includes a plurality of strain measurement units corresponding to the plurality of tie bars included in the mold clamping device. It is preferable to compare the elapsed time based on the data.

The molding machine of the present invention includes a mold clamping abnormality detection unit that detects mold clamping abnormality based on the elapsed time from the point before the generation of distortion until the generation of distortion indicated by the measurement value by the strain measurement unit, The abnormality detection unit detects a mold clamping abnormality by comparing at least the elapsed time based on the measurement data corresponding to the strain change curve before and after the occurrence of strain with a reference elapsed time. It is preferable to stop the operation of the molding machine when the mold clamping abnormality is detected by the clamping abnormality detection section.

In the molding machine of the present invention, the master data and the measurement data correspond to the parallelism derived from the values measured by each of the plurality of strain measuring units, and the difference between the master data and the measurement data corresponds to the use change of the parallelism. preferably.

In the molding machine of the present invention, the master data and the measurement data correspond to the elapsed time from the point before the occurrence of strain until the occurrence of strain indicated by the measurement value by the strain measuring unit. If the length is shorter than the data, it is determined to be negative, and the control device preferably stops the operation of the molding machine when the determination result by the pass/fail determining section is negative.

In the molding machine of the present invention, the pass/fail determination section applies at least two thresholds to the difference between the measurement data and the master data to determine pass, fail, and an intermediate state between pass and fail. The control device outputs information or a warning when the result of determination by the pass/fail determination unit is intermediate, and stops the operation of the molding machine when the result of determination by the pass/fail determination unit is negative. is preferred.

In the molding machine of the present invention, the control device includes a history data accumulation unit for accumulating the difference between the measurement data and the master data or the measurement data as history data corresponding to the molding cycle, and the rate of change of the history data with respect to the number of cycles. and a healthy cycle number estimating unit for estimating the number of healthy cycles for which the good/bad judgment unit continues to make a good judgment based on the above.

The molding machine of the present invention preferably corresponds to a die casting machine used for casting.

The diagnostic program of the present invention is a diagnostic program capable of diagnosing changes in the characteristics of a molding machine. A master data registration unit for registering such master data in a predetermined setting area, and a pass/fail judgment unit for judging pass/fail by comparing measurement data relating to strain measurement values after registering the master data with the master data.

The molding method of the present invention is a molding method using a molding machine, and the control device used for quality judgment related to the molding machine includes master data related to the measurement value of the strain of the tie bar to which tension is applied along with the mold clamping operation. A master data registration mode that registers the Molding including the process of injecting into the cavity formed by the mold, the process of applying pressure to the material filled in the cavity and maintaining the pressure, the process of opening the fixed and movable molds, and the process of ejecting the product. and a molding mode that performs a cycle, and the molding method performs the molding mode after performing the master data registration mode at the reference time of the use change of the characteristics of the molding machine, and in the molding mode, the strain measurement value Quality is determined by comparing the measurement data and the master data.

According to the present invention, the degree of change in strain during use can be grasped by comparing the master data registered at the reference time of change in use with the measurement data that can be obtained at any time for each molding cycle. It is possible to make a good/bad decision based on the degree of usage change up to the present. Based on the degree of change in use, it is possible to detect signs of abnormalities due to changes in use of tie bars, molds, etc. at an early stage. , so that the tie bars and molds can be preserved.
According to the present invention, it is possible to determine the quality of the parallelism derived from the distortion, and to detect the mold clamping abnormality based on the timing of occurrence of the tie bar distortion, in addition to the quality judgment of the tie bar distortion characteristics. Concerning maintenance of the mold, early detection of mold clamping abnormality based on the generation timing of distortion also contributes.

The present invention is not limited to application to new machines, but can also be applied to existing molding machines by introducing a diagnostic program into the control device. That is, after executing the diagnostic program in the control device and registering the master data related to the measurement values measured by the strain measuring unit provided in the tie bar at the reference time of the change in use, the master data is read out from the storage device. By comparing the master data obtained by the strain measurement unit with the measurement data related to the measurement values obtained by the strain measurement unit, it is possible to know the degree of change in use, which can lead to preventive maintenance of tie bars and molds.

It is a side view showing a die-casting machine concerning an embodiment of the present invention. (a) is a schematic diagram showing a stationary platen, a movable platen, and tie bars of the die casting machine shown in FIG. (b) is a IIb arrow directional view of (a). It is a figure which shows the distortion measuring part provided in the edge part of a tie bar. 1 is a block diagram showing a schematic configuration of a control device for a die casting machine; FIG. FIG. 4 is a block diagram showing modules of a diagnostic program executed in the controller; 4 is a graph showing a mold clamping stroke (dashed line) and tie bar strain measurement data (solid line) from the start to the end of a mold clamping process. In addition, master data (chain line) based on measured strain values at the reference time are shown. (a) and (b) show comparative examples for embodiments of the present invention. (a) is a graph showing the mold clamping stroke (broken line) and tie bar strain (solid line) from the start to the end of the mold clamping process. In addition, the upper limit and lower limit of strain are shown. The positions where the strain shown in (a) was measured are indicated by four points in (c). (a) is a diagram schematically showing a state in which the stationary platen and the movable platen are inferior in parallelism. (b) is a view in the direction of arrow VIIIb of (a), in which two of the four tie bars with relatively large elongation are colored. (a) shows a state in which the measurement data of the strain of the tie bars colored in FIG. 8(b) is deviated from the master data. (b) shows a state in which the measurement data of the strain of the tie bars that are not colored in FIG. 8(b) match the master data. (a) and (b) are schematic diagrams showing a state in which a foreign object adheres to a mold. (b) is an Xb arrow directional view of (a). The mold clamping stroke (broken line) and tie bar strain (solid line) are shown from the start to the end of the mold clamping process, along with master data (chain line) based on the measured value of the strain at the reference time.

Hereinafter, embodiments of the present invention will be described with reference to the accompanying drawings.
〔overall structure〕
The die casting machine 1 shown in FIG. 1 includes a stationary platen 3 provided with a stationary die 2, a movable platen 5 provided with a movable die 4, and a die clamping device 20 that performs die clamping by tension applied to tie bars 21. , an injection device 6 for injecting molten metal (material) into a cavity (not shown) formed by the fixed mold 2 and the movable mold 4, and a control device 30 used for quality judgment related to the die casting machine 1.

[Clamping device]
The mold clamping device 20 moves the movable platen 5 between the fixed platen 3 fixed to the base 7 and the link housing 22 along a rail or the like (not shown) in the mold clamping direction x to move the fixed mold 2 and the The movable mold 4 is opened and closed, and the fixed mold 2 and the movable mold 4 are clamped.
This mold clamping device 20 comprises a toggle link 23 installed between a link housing 22 and a movable platen 5, and a plurality of (typically four) tie bars 21 arranged parallel to the mold clamping direction x. , a crosshead 24 connected to the toggle link 23 , and a mold clamping cylinder 25 provided in the link housing 22 to drive the crosshead 24 . Toggle link 23 includes mid link 231 and crosshead link 232 . There are four tie bars 21 in this embodiment, which penetrate the four corners of the link housing 22 , the movable platen 5 , and the stationary platen 3 .

When the crosshead 24 is pushed out toward the movable platen 5 by a mold clamping cylinder 25 driven by a hydraulic circuit (not shown), the movable platen 5 moves in the mold clamping direction x toward the stationary platen 3 while being guided by tie bars 21. do. At this time, the toggle link 23 (mid link 231, crosshead link 232) is gradually extended from the bent state. As shown in FIG. 2A, when the movable mold 4 comes into contact with the fixed mold 2, the tie bars 21 start to elongate, and the tie bars 21 are strained in proportion to the tensile stress.
The tension of the tie bars 21 is applied to the fixed mold 2 and the movable mold 4 as mold clamping force. When the toggle link 23 is extended to the maximum, the tie bar 21 is also extended to the maximum, and when the movable mold 4 reaches the mold clamping completion position, a specified mold clamping force is applied to the fixed mold 2 and the movable mold 4. . The fixed mold 2 and the movable mold 4 can be sufficiently clamped against the pressure of the molten metal in the cavity with the prescribed mold clamping force. By repeating mold clamping and mold opening, the strain of the tie bar 21 changes within the elastic range.
The mold clamping device 20 may be of an electric type having a motor and a ball screw instead of the mold clamping cylinder 25 .

[Strain measuring part]
As shown in FIGS. 2B and 3, strain measuring units 40 for measuring the strain (elongation amount) of the tie bars 21 to which tension is applied are provided at the axial ends of the plurality of tie bars 21, respectively. It is
A nut 27 and a nut retainer 28 are provided at the end of the tie bar 21 .
2, 7, 8, and 10, illustration of the nut 27 and the nut retainer 28 is omitted. Actually, since the nuts 27 and the nut retainers 28 are provided at the ends of the tie bars 21 on the stationary platen 3 side, the ends of the tie bars 21 are not exposed.

As shown in an example of the configuration of the strain measurement unit 40 in FIG. A strain sensor 43 for detecting the amount of movement of the tie bar 21 as a strain of the tie bar 21 and a spring 44 provided on the rod 41 are provided.

One end of the rod 41 is always abutted against the bottom of the hole 211 by the elastic force of the spring 44 . 431 is bumped. The strain sensor 43 is attached to the nut retainer 28 via the bracket 29 .
When the tie bar 21 extends, the displacement amount of the end surface 41A of the rod 41 relative to the tie bar 21 is output from the strain sensor 43 as an electrical signal indicating the strain of the tie bar 21 .

〔Control device〕
The control device 30 includes a control device main body 31, and a monitor 32 and an external storage medium 33 connected to the control device main body 31, as an example of the hardware configuration is shown in FIG.
The control device main body 31 is composed of a computer device or the like, and includes an arithmetic unit 311 such as a CPU (Central Processing Unit), a memory 312, a storage unit 313 (storage medium) for storing data such as programs and setting values, and an input/output unit. 314.

A diagnostic program capable of diagnosing changes in strain characteristics of the tie bars 21 of the mold clamping device 20 is installed in the control device 30 . Based on this diagnostic program, the control device 30 can diagnose the integrity of the tie bars 21 by measuring the strain of the tie bars 21 .

If the use of the tie bar 21 progresses without proper maintenance, wear, damage, corrosion, etc. will occur in the tie bar 21 and bushes attached to the tie bar 21, and the measured value of the strain of the tie bar 21 will fall out of the normal range. Deviate. A change in the strain characteristics of some tie bars 21 among the plurality of tie bars 21 may also affect the strain characteristics of other tie bars 21 provided in the same mold. In addition, changes in strain characteristics of some of the tie bars 21 also affect parallelism.

The control device 30 sets a predetermined set area as master data (for example, D _M in FIG. 6) measured by the strain measuring unit 40 at a reference time when the properties of the tie bar 21 and the die are changed in use, for example, immediately after delivery of the die casting machine 1. , and during casting by the die casting machine 1 after registration, strain measurement data (for example, D ₁ in FIG. 6) measured by the strain measuring unit 40 for each casting cycle (for each shot) and master data The pass/fail is determined by comparing the . In other words, the acceptability is determined based on the change in use of the strain from the reference time to the present.
In addition to the soundness of the tie bars 21, the control device 30 of the present embodiment also determines whether the parallelism of each tie bar 21 is good or bad, which is derived from the correlation of the strain measurement values. Detects mold clamping abnormalities caused by adhesion of foreign matter, etc.

The control device 30 has a master data registration mode M1 and a casting mode M2 (molding mode) as main control modes. In the master data registration mode M1, master data relating to the measured value of the strain of the tie bar 21 accompanying the mold clamping operation is registered in a predetermined setting area.
In the casting mode M2, the die casting machine 1 performs a casting cycle including a mold clamping process, a hot water supply process, an injection process, a pressure increasing/holding process, a mold opening process, and a product discharging process.

For example, as shown in FIG. 5, the diagnostic program installed in the control device 30 includes a master data registration unit 301, a quality determination unit 302, a notification unit 303, a machine stop unit 304, and a parallelism quality determination unit. 305 , mold clamping abnormality detection unit 306 , history data accumulation unit 307 , and healthy cycle number estimation unit 308 .

The control device 30 implements the master data registration mode M1 following power-on of the control device 30, for example, at a reference time of change in use of the tie bar 21 or the like. By implementing the master data registration mode M1, the master data registration unit 301 registers the master data specific to each die casting machine 1 in the storage unit 313 . After registering the master data, the casting mode M2 can be performed.
In the casting mode M2, for example, when the mold clamping process is started and molten metal is supplied to the sleeve 61 of the injection device 6 in parallel with the mold clamping process (hot water supply process), the injection The plunger 62 coupled to the piston rod 60A of the cylinder 60 is advanced to inject the molten metal toward the cavity (injection step). When the molten metal fills the cavity, pressure is introduced into the head side 60H of the injection cylinder 60 to increase the pressure of the molten metal in the cavity to a specified pressure and maintain the pressure of the molten metal in the cavity. After the pressure increasing/holding process is completed and the molten metal in the cavity solidifies, the molds 2 and 4 are opened and the product is discharged from the molds 2 and 4 by a product discharge mechanism (not shown) (mold opening process and product discharge process ).

(Master data registration department)
The master data registration unit 301 registers the measurement value measured by the strain measurement unit 40 at the reference time of usage change in a predetermined setting area of the storage unit 313 as master data.
The "reference time of use change" is, for example, immediately after the delivery of a newly manufactured die casting machine 1, or immediately after the trial casting performed after delivery, etc. corresponds to the initial state of the die casting machine 1, which has not occurred in

In registering the master data, the die casting machine 1 is operated to perform at least the mold clamping step of the casting process, and the measurement value of the strain of the tie bar 21 is acquired in the master data registration unit 301 . A measured value measured by the strain measuring unit 40 or an average value of measured values obtained by multiple measurements by the strain measuring unit 40 can be registered as master data.

Even with the same mold and the same model, the strain of the tie bar 21 is not necessarily the same due to individual differences in the die casting machine 1 . Also, the strain of each of the four tie bars 21 is not necessarily the same. It is preferable that the master data be individually registered for each of the plurality of tie bars 21 .
Further, the elongation behavior and strain of the tie bar 21 differ depending on the mold corresponding to the product. Therefore, the master data is preferably registered for each mold.

When the controller 30 issues a mold clamping start command, the movable platen 5 starts to move due to the operation of the mold clamping cylinder 25 and the behavior of the toggle link 23 (mid link 231, crosshead link 232). 6 shows the strain of the tie bar 21 and the mold _clamping stroke by the mold clamping cylinder 25. Gradually increases until tightening completion time _tf . The mold clamping stroke corresponds to the amount of movement of the movable platen 5 driven by the mold clamping cylinder 25 .
The amount of elongation of the tie bar 21 from the mold _clamping start time t _s , that is, when the command to start mold clamping is issued, to the time when the fixed mold 2 and the movable mold 4 come into contact (tg when distortion occurs) is substantially zero.

As shown in FIG. 6, the master data registration unit 301 stores master data corresponding to a strain change curve from the time _ts when mold clamping starts to the time _tf when mold clamping is completed, before the time _tg when strain occurs. It is preferable to register a _DM . In this case, the master data _DM consists of a set of continuous measurement values measured by the strain measuring unit 40 from the mold clamping start time _ts to the mold clamping completion time _tf .

Registered master data is basically not updated. It is possible to change the value of the threshold used when judging the quality from the master data and the measurement data. For example, the threshold can be determined based on the strain value measured by the strain measuring unit 40 during regular maintenance.
When the tie bar 21 and the molds 2 and 4 are deteriorated and the tie bar 21 and the molds 2 and 4 are replaced with new ones, the master data registration mode M1 is executed again to replace the tie bar 21 and the molds with new ones. It is preferable to re-register the master data of the die casting machine 1 for 2 and 4.

(Good/bad judgment unit)
Any processing of the pass/fail determination unit 302, the notification unit 303, the machine stop unit 304, the parallelism determination unit 305, the mold clamping abnormality detection unit 306, the history data accumulation unit 307, and the healthy cycle number estimation unit 308 described below , can be performed while the casting mode M2 is being performed.

The pass/fail judgment unit 302 judges the soundness of the tie bar 21 by comparing the measurement data corresponding to the measurement values measured by the strain measurement unit 40 with the master data during casting after the registration of the master data. For example, at the mold clamping completion time _tf , the measurement data D1 indicated by the solid line is larger _than the master data DM indicated by the dashed line, so there is _a strain difference _Δε1 between them. This difference Δε ₁ corresponds to the use change of the strain characteristic of the tie bar 21 .
In FIG. 6, as the measurement data D2 corresponding to the measurement value measured by the strain measuring unit 40 after the measurement data D1 is indicated by a _{two -} dot chain line, the master data D _M increases from _Δε1 to _Δε2 . In other words, the greater the difference between the master data _DM and the measurement data D ₁ and D ₂ , the greater the degree of usage change.

FIG. 7A shows a comparative example for this embodiment. In the comparative example, master data is not registered at the reference time of usage change. Therefore, regardless of the comparison between the master data and the measurement data, the quality is determined by applying the _upper limit value L1 and the _lower limit value L2 of the normal range to the strain measurement value _εf at the time _tf when mold clamping is completed. be done. In this case, if the tie bar 21 deteriorates and the measured value ε _f deviates from the normal range, it is possible to detect the distortion abnormality of the tie bar 21, but it is difficult to grasp the degree of deterioration of the tie bar 21 immediately after delivery, for example. can't.
Moreover, if the magnitude of the strain of the tie bar 21 varies immediately after delivery due to individual differences in the die casting machine ₁ , the upper limit value L1 and the lower limit value L2 _are not necessarily appropriate for determining quality.

In contrast to the comparative example, according to the present embodiment, the degree of change in strain during use can be grasped from the differences Δε ₁ and Δε ₂ between the master data registered at the reference time of change in use and the measurement data. Even if the magnitude of the strain of the tie bar 21 varies due to individual differences immediately after delivery, it is possible to appropriately determine the quality based on the degree of change in use indicated by the differences Δε ₁ and Δε ₂ . Based on the degree of change in use indicated by the differences Δε ₁ and Δε ₂ , the time limit for continuous use of the die casting machine 1 is estimated, and maintenance is performed by the time limit to deviate the strain characteristics of the tie bar 21 from the normal range. can be maintained within the normal range.

The pass/fail judgment unit 302 judges pass/fail by applying at least one threshold value to the difference between the master data and the measurement data. For example, if the difference is equal to or _less than the threshold A1, it is determined as "good", and if the difference is greater _than the threshold A1, it is determined as "fail". In this case, assuming that the difference is Δε ₁ , the determination is "no". The same is true when the difference is _Δε2 .
Alternatively, by applying two thresholds A ₁ and A ₂ to the difference, the pass/fail determination unit 302 can determine “pass”, “fail”, and an intermediate state between “pass” and “fail” ( "Medium") can be determined. For example, the difference Δε ₁ is larger than the threshold A ₁ but smaller than the threshold A ₂ , so it is determined to be "medium". Since the difference Δε ₂ is larger than the threshold A ₂ , it is determined as "no".

Unlike the example shown in FIG. 6, the difference between the measurement data and the master data may decrease with respect to the difference between the previous measurement data and the master data. For example, when the strain of one of the tie bars 21 increases due to changes in use, the strain of the other tie bars 21 may decrease. The pass/fail judgment unit 302 can judge pass/fail by applying an appropriate threshold to the difference between the master data and the measurement data, including the case where the difference between the master data and the measurement data decreases.

Based on the result of the pass/fail judgment by the pass/fail judgment unit 302, the notification unit 303 and the machine stop unit 304 perform necessary processing. The notification unit 303 and the machine stop unit 304 can also perform necessary processing based on the result of judgment by the parallelism judgment unit 305 and the detection result by the mold clamping abnormality detection unit 306 .

As described above, the registration of the master data D _M corresponding to the strain change curve from before the strain generation time _tg (mold clamping start time _ts ) to the mold clamping completion time _tf is registered. It is preferable that the pass/fail determination unit 302 acquires measurement data corresponding to the strain change curve from the mold clamping start time _ts to the mold clamping completion time _tf by the strain measurement unit 40, similar to the master data. .
Then, only the measured values measured at a certain time from the start of mold clamping _ts to the completion of mold clamping _tf , for example, the measured values measured at the completion of mold clamping _tf are registered as master data, and only the measured values measured at the same time Unlike the case where the quality judgment is performed based on the differences Δε ₁ and Δε ₂ between the measurement data corresponding to the master data and the master data, when the strain of the tie bar 21 reaches the maximum value from the time _tg when the strain occurs (when the mold is closed) t _f ), the difference between the master data and the measured data can be monitored over the entire strain variation range. _In that case, for example, if the difference _Δε11 exceeds a predetermined threshold before the movable platen 5 reaches the mold clamping completion position pf, the operation of the die casting machine 1 can be immediately stopped.

(Notification part)
The notification unit 303 notifies the result of the pass/fail determination by the pass/fail determination unit 302 by, for example, displaying information on the screen of the monitor 32 or outputting an alarm sound. For example, when the pass/fail determination result is "fail", the notification unit 303 can warn that the tie bar 21 is excessively distorted by displaying "tie bar distortion abnormality". Such notification enables the operator to arrange for maintenance of the tie bar 21 or the like.

If the pass/fail judgment results include "medium", which is intermediate between pass/fail, for example, if the pass/fail judgment result is "medium", "Caution for tie-bar distortion" is displayed, and if it is "fail", "tie-bar distortion" is displayed. Abnormal" may be displayed. According to the notification of "caution for tie-bar distortion" prior to "abnormal tie-bar distortion", the degree of deterioration of the tie-bars 21 can be grasped while the deviation of the measurement data from the master data is slight and the die-casting machine 1 can be used continuously. , it is possible to create an appropriate maintenance schedule in consideration of the casting production plan.
It should be noted that, when the pass/fail determination result is "good", the notification unit 303 does not necessarily need to output information or the like.

(machine stop)
When the pass/fail judgment result is "fail", the notification unit 303 outputs a warning or the like, and if necessary, the operation of the die casting machine 1 is stopped based on the machine stop command issued by the machine stop unit 304. can be done. In addition, when the pass/fail judgment result is “fail”, the die casting machine 1 may be stopped by the machine stop section 304 without being notified by the notification section 303 .

The operation of the die casting machine 1 may be uniformly stopped by the machine stopping unit 304 when the pass/fail judgment result is "fail", or the condition for stopping the die casting machine 1 may be set by a predetermined threshold value. good too. For example, if the strain due to the elongation of the tie bars 21 is so small that the mold clamping force may be insufficient, or if the elongation of a plurality of tie bars 21 is unbalanced or foreign matter is caught in the dies 2 and 4, the metal mold may be damaged. It is preferable to stop the operation of the die casting machine 1 when there is a possibility of damaging the molds 2 and 4 .

(Parallelism good/bad judging section)
The parallelism quality determination unit 305 determines the quality of the parallelism derived from the correlation of the measurement values of the plurality of strain measurement units 40 . The parallelism corresponds to the parallelism between the stationary platen 3 and the movable platen 5 or the parallelism between the stationary mold 2 and the movable mold 4 .

For example, as shown exaggeratedly in FIG. 8A, if the stationary platen 3 is tilted with respect to the movable platen 5, as shown in FIG. Parallelism is inferior to the case where they face each other in parallel. If the parallelism is poor, the mold clamping force will not be evenly applied to the mating surfaces 8 of the fixed mold 2 and the movable mold 4, so that an excessive load will be applied to a part of the molds, or a part of the mating surfaces 8 will be damaged. There is a risk that burrs may occur on the part.

In the example shown in FIG. 8(a), the stationary platen 3 is inclined with respect to the movable platen 5 so as to rotate about the y-axis orthogonal to the mold clamping direction x. When the movable platen 5 is tilted in the direction of rotation about the z-axis, the parallelism is similarly inferior. be.

In order to manage the parallelism within the normal range, in the comparative example shown in FIG. A distance X between the movable platen 5 and the mold mounting surface 5A is measured using a micrometer (not shown). Points B ₁ to B ₄ shown in FIG. 7(c) indicate locations where the distance between the platens 3 and 5 is measured with a micrometer. The degree of parallelism is calculated from the correlation of distances measured at a total of four locations. By applying, for example, the upper limit value and the lower limit value of the normal range to the parallelism, the quality of the parallelism can be determined.

In this embodiment, instead of the distance X between the platens 3 and 5, measured strain values of the plurality of tie bars 21 penetrating the platens 3 and 5 are used. For example, in the example shown in FIG. 8B, the two upper tie bars 21 (colored by the pattern) on the mold mounting surfaces 3A and 5A extend more than the lower tie bars 21. Therefore, each strain of the upper tie bar 21 is also larger than each strain of the lower tie bar 21 . That is, from the correlation of the strains of these tie bars 21, the parallelism quality determining unit 305 can calculate the parallelism by calculating the strain measurement values of the strain measuring unit 40 corresponding to each of the tie bars 21. .

The parallelism quality determination unit 305 can determine the quality of the parallelism by, for example, comparing the calculated parallelism with the upper limit value and the lower limit value as the reference parallelism. By doing so, compared to the above comparative example, there is no need to stop the die casting machine 1, it is not necessary to spend manpower and time to determine whether the parallelism is good or bad, and there is a concern that the parallelism may be erroneously calculated due to human error in measurement. Therefore, it is possible to easily and reliably determine whether the parallelism is good or bad. It is possible to monitor the parallelism on the basis of the measured value by the strain measuring unit 40 at any time during the operation of the die casting machine 1, and to judge the quality.

As described above, the parallelism may be determined by comparing the parallelism calculated from the correlation of the strain measurement values of the tie bars 21 with the reference parallelism. Similarly, it is more preferable for the parallelism quality determination unit 305 to determine the quality of the parallelism by comparing the master data and the measurement data. By doing so, it is possible to more appropriately determine whether the parallelism is good or bad, taking into account individual differences and changes in use of the die casting machine 1 .

FIG. 9(a) shows the master data _DM corresponding to the strain measurement value and the strain measurement value after registration of the master data for one of the two tie bars 21 colored in FIG. 8(b). and measurement data _D1 corresponding to . It is assumed that the master data and measurement data for the other tie bar 21 are substantially the same. _The measurement data D1 is shifted to the increasing side with respect to the master data _DM indicated by the dashed line.

FIG. 9(b) shows the master data _DM corresponding to the strain measurement value and the strain measurement after registering the master data for one of the two tie bars 21 which are uncolored in FIG. 8(b). Measured data D3 corresponding to the values _are shown. It is assumed that the master data and measurement data of the other tie bar 21 are substantially the same. The measurement data _D3 substantially match the master data _DM .
According to the examples of FIGS. 9A and 9B, the elapsed time from the reference time when the master data _DM is registered to the mold clamping time when the measurement data D ₁ and D ₃ are acquired, and the die casting machine 1 , the strain of some of the four tie bars 21 increases from the standard time, and the strain of the remaining tie bars 21 is the same as that of the standard time. Due to the unbalanced strain among the plurality of tie bars 21, the parallelism is lowered as in the example shown in FIG. 8(a).

Therefore, the parallelism quality determination unit 305 compares the master parallelism calculated from the correlation of the strain measurement values, which is master data, with the measured parallelism calculated from the correlation of the strain measurement values, which is the measurement data, to determine, for example, By applying a predetermined threshold value to the difference (not shown) between the master parallelism and the measured parallelism, it is possible to determine whether the parallelism is good or bad.
It should be noted that the calculation of the master parallelism and the measured parallelism is not a premise in order to obtain the difference in parallelism corresponding to the change in use. The difference in parallelism corresponding to the change in use is obtained from the master data of each tie bar 21 corresponding to the strain measurement value of each of the plurality of tie bars 21 and the measurement data of each tie bar 21 corresponding to the strain measurement value of each of the plurality of tie bars 21. , that is, the difference Δε1 between the strain measurement values of _each tie bar 21 may be calculated.

As described above, the distortion of each of the four tie bars 21 is not necessarily the same even at the reference time when the master data is registered. Not exclusively.
Also, if the four tie bars 21 are elongated by the same amount of elongation due to changes in use, the parallelism is maintained, but as shown in FIGS. are not necessarily identical. Furthermore, the behavior of each tie bar 21 from the time _tg when distortion occurs to the time _tf when mold clamping is completed does not necessarily mean that each tie bar 21 extends evenly.

However, according to the present embodiment, it is possible to grasp the use change of the parallelism based on the difference between the master parallelism and the measured parallelism. It is possible to appropriately determine whether the degree of parallelism is good or bad based on the degree of change in use indicated by the difference in degree. Based on the determination result of the parallelism quality determination unit 305, the notification unit 303 may output information or a warning, and the machine stop unit 304 may stop the operation of the die casting machine 1. FIG. By using a plurality of thresholds for the difference in parallelism, the pass/fail may be reported in three or more stages such as "good parallelism", "moderate parallelism", and "bad parallelism". .

Both the master data D _M and the measurement data D ₁ are obtained by continuous measurement until the mold clamping completion time _tf . Differences can be monitored. Then, for example, if the difference in parallelism exceeds a predetermined threshold value during movement of the movable platen 5, the operation of the die casting machine 1 can be immediately stopped. , 4 and burr generation can be avoided.

(mold clamping error detector)
Next, the mold clamping abnormality detection unit 306 (FIG. 5) will be described with reference to FIGS. 10 and 11. FIG. The mold clamping abnormality detection unit 306 detects the time before the distortion of the tie bar 21 occurs, for example, from the mold clamping start time t _s to the distortion generation time t _g (t _g1 , t _gM ) based on the measurement value by the strain measurement unit 40 Detect abnormalities in mold clamping based on the elapsed time. The strain generation time _tg corresponds to, for example, the time when the measured value by the strain measuring unit 40 exceeds a predetermined threshold value.
The mold clamping abnormality referred to here mainly assumes adhesion of foreign matter 9 to the mating surfaces 8 of the molds 2 and 4 as shown in FIGS. 10(a) and 10(b). The foreign matter 9 corresponds to burrs, which are solidified substances of the molten metal, solidified substances of the release agent, and the like.

The master data _DM includes at least a set of measured values corresponding to a strain change curve before and after the strain occurrence time _tg . In the mold clamping process after registration of the master data _DM , the mold clamping abnormality detection unit 306 detects the elapsed time T1 based _on the measurement data D1 continuously acquired at _least before and after the distortion generation time _tg , and the master A mold clamping abnormality is detected by comparison with the _elapsed time _TM based on the data DM.

If the same model, the same mold, and the same tie bar 21 are used, distortion occurs with the lapse of substantially the same time from the mold clamping start time _ts . The specified elapsed time T ₀ required from the mold _clamping start time t _s to the occurrence of distortion does not substantially change in use with respect to the master elapsed time TM obtained from the master data _DM , and the distortion characteristics of the tie bar 21 is almost constant even if changes in use. However, if mold clamping is performed with foreign matter 9 adhering to the mating surfaces 8 of the stationary mold 2 and the movable mold 4, the adhesion of the foreign matter 9 increases the thickness of the dies 2 and 4, resulting in an increase in the thickness of the dies 2 and 4. A strain occurs in the tie bar 21 prior to the elapsed time T ₀ (T _M ). At this time, the elapsed time T1 from the mold clamping start time _ts to the distortion generation time _tg is shorter _than the specified elapsed time _T0 .

Therefore, the mold clamping abnormality detection unit 306 derives the master elapsed time _TM from the master data _DM , derives the measured elapsed time T1 from the measurement data D1, and determines that the elapsed time _T1 is _{longer than} the elapsed time _TM . Mold clamping abnormality is detected based on the shortness.
When the mold clamping abnormality is detected by the mold clamping abnormality detection unit 306, the machine stop unit 304 issues a machine stop command to stop the operation of the die casting machine 1 immediately. At the same time, it is preferable that the notification unit 303 displays a warning display such as “mold clamping abnormality, foreign matter confirmation” on the monitor 32 . In addition, it is preferable to shift to the mold opening operation after the operation of the die casting machine 1 is stopped.

As a comparative example for the mold clamping abnormality detection unit 306, even if the movable platen 5 does not reach the specified mold clamping completion position _pf because the foreign matter 9 is caught in the molds 2 and 4, the mold clamping start time _ts The machine waits for a certain period of time, which is the estimated required time from _tf to the completion of mold clamping plus a margin. In contrast to such a comparative example, according to the present embodiment, the strain is measured in real time by the strain measuring unit 40 throughout the mold clamping process, and the die casting machine 1 is immediately stopped when a mold clamping abnormality is detected when strain occurs. Therefore, it is possible to prevent excessive stress from being generated in the molds 2 and 4 by continuing the mold clamping while the foreign matter 9 is sandwiched between the molds 2 and 4. can be extended.

Adhesion of the foreign matter 9 affects the total number of tie bars 21 or the elapsed time from the mold clamping start time _ts to the distortion generation time _tg for at least one tie bar 21 near the position where the foreign matter 9 is adhered. . The mold clamping abnormality detection unit 306 derives the elapsed times T _M and T ₁ from the master data D _M and the measurement data D ₁ for each tie bar 21, and detects the mold clamping abnormality from the difference between the elapsed times T _M and T ₁ . According to the detection, even if the foreign matter 9 is minute, at least the strain generated in the tie bar 21 closest to the foreign matter 9 among the four tie bars 21 can be detected prior to the other tie bars 21 . Therefore, it is possible to detect an abnormality in mold clamping due to adhesion of the foreign matter 9 .

According to the mold clamping abnormality detection unit 306, besides the adhesion of the foreign matter 9, for example, the movement of the movable platen 5 to the mold clamping completion position _pf is hindered by some other factor, which delays the generation of the distortion of the tie bar 21. As in the case, it is also possible to detect a mold clamping abnormality based on the fact that the measured elapsed time _T1 is longer _than the master elapsed time TM.

Instead of detecting the mold clamping abnormality by comparing the master data and the measurement data as described above, the mold clamping abnormality detection unit 306 detects the elapsed time from the mold clamping start time _ts to the distortion generation time _tg , Abnormal mold clamping may be detected by comparison with a reference elapsed time. When a mold clamping abnormality is detected, the operation of the die casting machine 1 should be immediately stopped by the machine stop section 304 in order to avoid excessive stress on the molds 2 and 4 .

(Historical data storage unit)
_The history data accumulation unit 307 accumulates the difference between the measurement data _D1 and the master data _DM or the measurement data D1 in the storage unit 313 as history data corresponding to the casting cycle.
The history data can be stored in the storage unit 313 as table data in which values are arranged for each tie bar 21 and each mold, for example.

(Healthy cycle number estimator)
A healthy cycle number estimating unit 308 estimates the number of healthy cycles in which the good/bad judgment unit 302 and the parallelism good/bad judgment unit 305 continue to judge "good" based on the rate of change of history data with respect to the number of casting cycles. For example, based on the change rate _per unit cycle number of the difference Δε ₁ at the time when the measurement data D ₁ shown in FIG. can be calculated by calculation.
It should be noted that the amount of data accumulated by the history data accumulation unit 307 can be limited to a degree sufficient for calculating the number of healthy cycles.

It is preferable that the number of healthy cycles calculated by the healthy cycle number estimator 308 is displayed on the screen of the monitor 32 by the notification unit 303 described above. It is also possible to display time information corresponding to the number of healthy cycles on the screen of the monitor 32 instead of the number of healthy cycles or together with the number of healthy cycles. For example, if information such as "the number of healthy cycles: △△△ (approximately XX days)" is notified, it is possible to easily determine the timing suitable for maintenance.

[Main effects of the present embodiment]
According to the die casting machine 1, the diagnostic program, and the casting method of the present embodiment described above, while the die casting machine 1 is continuously operated, the master data, which is the strain measurement value registered at the reference time of the change in use, and the Also, it is possible to determine whether the strain of the tie bar 21 is good or bad based on the degree of change in use indicated by the difference from the measurement data, which is the strain measurement value acquired during casting. According to the present embodiment, it is possible to judge the quality of the parallelism that can be calculated from the distortion, and to detect the mold clamping abnormality based on the timing of the occurrence of distortion in the mold clamping process, in addition to the quality judgment of the distortion characteristics of the tie bars 21 . can be done.

By controlling the control device 30 based on the diagnostic program, it is possible to determine the quality of the distortion of the tie bar 21 and the quality of the parallelism between the movable platen 5 and the stationary platen 3 for each shot. Also, it is possible to catch early signs of abnormalities caused by changes in the use of the platens 3, 5 and the molds 2, 4. Since the degree of usage change can be grasped from the difference between the master data and the measurement data, the die casting machine 1 can be timely shifted to maintenance without damaging the tie bar 21, the molds 2 and 4, etc. Maintenance of the molds 2 and 4 can be achieved. In other words, it can lead to preventive maintenance to prevent troubles related to abnormal distortion of the tie bars 21 . As a result, it is possible to increase the operating rate of the die casting machine 1 and improve productivity. Regarding the maintenance of the molds 2 and 4, as described above, the fact that the mold clamping abnormality detection unit 306 detects the mold clamping abnormality earlier than the comparative example also contributes.

Moreover, by introducing a diagnostic program into the control device 30, the present embodiment can be applied not only to new machines but also to existing die casting machines. In that case, it is sufficient to introduce a diagnostic program into the control device 30 without changing existing systems such as the molds 2 and 4, the mold clamping device 20, the injection device 6, and the hydraulic circuit. Therefore, it is possible to provide a preventive maintenance function based on the grasp of the degree of usage change while suppressing the cost of introducing the equipment, and furthermore, the diagnostic program can automatically judge whether it is good or bad, so it is possible to greatly reduce the work cost. can.

In addition to the above, it is possible to select the configurations described in the above embodiments or to change them to other configurations as appropriate without departing from the gist of the present invention.

The present invention can also be applied to injection molding using a resin such as a thermoplastic resin as a material. That is, the present invention applied to the die casting machine, its diagnostic program, and the casting method in the above embodiment can be similarly applied to the injection molding machine, its diagnostic program, and the injection molding method.

In the above embodiment, both the master data and the measurement data correspond to the strain of the tie bars 21 measured by the strain measuring section 40 . Then, in judging whether the parallelism is good or bad and detecting an abnormality in mold clamping, the master data corresponding to the distortion of the tie bar 21 and the measurement data are used to obtain the parallelism, or from the start of mold clamping t _s to the distortion occurrence t _g It gives the elapsed time to
Here, it is not a premise that the measured value of the strain of the tie bar 21 is registered as master data and that the master data and the measured data, which is the measured value of the strain of the tie bar 21, are compared. For example, the parallelism derived from the correlation of the strain measurement values of the plurality of tie bars 21 is registered as master data, and the parallelism derived from the correlation of the master data and the strain measurement values of the plurality of tie bars 21. It is possible to judge whether the parallelism is good or bad by comparing the measured data as . Similarly, the elapsed time _TM from the start of mold clamping _ts , which is before the occurrence of distortion, to the occurrence of distortion _tg indicated by the strain measurement value of one or more tie bars 21 is registered as master data. _In addition, the mold clamping abnormality may be similarly detected by comparing the measurement data corresponding to the elapsed time T1 with the master data.

The molding machine, the diagnostic program, and the molding method of the present invention can determine whether the distortion of the tie bars 21 is good or bad, whether or not the parallelism between the platens is good or bad, and whether the mold clamping abnormality is detected by selecting the modules provided in the diagnostic program. It can have a single or at least two functions.

1 Die casting machine (molding machine)
2 Fixed mold 3 Fixed platen 3A Mold mounting surface 4 Movable mold 5 Movable platen 5A Mold mounting surface 6 Injection device 7 Base 8 Mating surface 9 Foreign object 20 Mold clamping device 21 Tie bar 21A End surface 22 Link housing 23 Toggle link 24 Cross Head 25 Mold clamping cylinder 27 Nut 28 Nut holder 29 Bracket 30 Control device 31 Control device main body 32 Monitor 33 External storage medium 40 Strain measuring unit 41 Rod 41A End surface 43 Strain sensor 44 Spring 60 Injection cylinder 60A Piston rod 60H Head side
61 sleeve 62 plunger 211 hole 231 mid link 232 crosshead link 301 master data registration unit 302 pass/fail determination unit 303 notification unit 304 machine stop unit 305 parallelism pass/fail determination unit 306 mold clamping abnormality detection unit 307 history data accumulation unit 308 healthy cycle number Estimation unit 311 Calculation unit 312 Memory 313 Storage unit 314 Input/output unit 431 Probes A ₁ , A ₂ Thresholds B ₁ to B ₄ points D ₁ , D ₂ , D ₃ Measurement data D _M Master data L ₁ Upper limit L ₂ Lower limit M1 Master data registration mode M2 Casting mode p _f mold clamping completion position T ₀ specified elapsed time T ₁ , T _M elapsed time t _s mold clamping start time t _g , t _g1 , t _gM strain generation t _f mold clamping completion x mold clamping direction Δε ₁ , Δε ₂ , Δε ₁₁ difference ε _f measured value X distance

Claims (16)

A molding machine,
a stationary platen provided with a stationary mold;
a movable platen provided with a movable mold;
a mold clamping device that clamps the mold by the tension applied to the tie bars;
a strain measuring unit that measures the strain of the tie bar to which tension is applied;
a control device used for quality judgment related to the molding machine,
The control device is
a master data registration unit for registering, in a predetermined setting area, master data relating to measurement values measured by the strain measurement unit when the characteristics of the molding machine change in use;
a pass/fail determination unit that determines pass/fail by comparing measurement data related to measurement values measured by the strain measurement unit after registration of the master data with the master data,
Molding machine. The master data and the measurement data correspond to the strain of the tie bar,
A difference between the master data and the measurement data corresponds to a use change of the strain.
A molding machine according to claim 1. The master data registration unit registers, in the setting area, the master data corresponding to the strain change curve from before the strain occurs in the tie bar to the completion of mold clamping,
The quality determination unit acquires the measurement data corresponding to the strain change curve from before the distortion occurs to the completion of mold clamping, and determines the quality by comparing the measurement data with the master data.
A molding machine according to claim 2. comprising a plurality of strain measurement units respectively corresponding to the plurality of tie bars included in the mold clamping device;
The master data registration unit registers measured values obtained by each of the plurality of strain measurement units as the master data for each tie bar,
The pass/fail judgment unit judges pass/fail of each of the plurality of tie bars by comparing the measurement data obtained for each of the tie bars, which is a measurement value obtained by each of the plurality of strain measurement units, with the master data. do,
A molding machine according to claim 2 or 3. a plurality of strain measuring units respectively corresponding to the plurality of tie bars included in the mold clamping device;
a parallelism quality determination unit that determines the quality of the parallelism derived from the correlation of the values measured by each of the plurality of strain measurement units;
The master data registration unit registers measured values obtained by each of the plurality of strain measurement units as the master data for each tie bar,
The parallelism quality determination unit determines whether the parallelism is good or bad by comparing the measurement data obtained for each of the tie bars, which is a measurement value obtained by each of the plurality of strain measurement units, with the master data.
A molding machine according to any one of claims 2 to 4. a plurality of strain measuring units respectively corresponding to the plurality of tie bars included in the mold clamping device;
a parallelism quality determination unit that determines the quality of the parallelism derived from the correlation of the values measured by each of the plurality of strain measurement units;
The parallelism quality determination unit determines whether the parallelism is good or bad by comparing the parallelism derived from the correlation of the measurement values measured by each of the plurality of strain measurement units with a reference parallelism.
A molding machine according to any one of claims 2 to 4. a mold clamping abnormality detection unit that detects a mold clamping abnormality based on the elapsed time from the point before the occurrence of the distortion until the occurrence of the distortion indicated by the value measured by the distortion measurement unit;
The master data registration unit registers at least the master data corresponding to the strain change curve before and after the occurrence of the strain in the setting area,
The mold clamping abnormality detection unit compares the elapsed time based on the measurement data corresponding to the change curve of the strain over at least before and after the occurrence of the strain with the elapsed time based on the master data to determine the mold clamping condition. Detect anomalies in
The control device is
When a mold clamping abnormality is detected by the mold clamping abnormality detection unit, the operation of the molding machine is stopped.
A molding machine according to any one of claims 2 to 6. comprising a plurality of strain measurement units respectively corresponding to the plurality of tie bars included in the mold clamping device;
The mold clamping abnormality detection unit compares the elapsed time based on the measurement data and the elapsed time based on the master data for each of the plurality of tie bars.
A molding machine according to claim 7. a mold clamping abnormality detection unit that detects a mold clamping abnormality based on the elapsed time from the point before the occurrence of the distortion until the occurrence of the distortion indicated by the value measured by the distortion measurement unit;
The mold clamping abnormality detection unit detects a mold clamping abnormality by comparing at least the elapsed time based on the measurement data corresponding to the strain change curve before and after the occurrence of the strain with a reference elapsed time. death,
The control device is
When a mold clamping abnormality is detected by the mold clamping abnormality detection unit, the operation of the molding machine is stopped.
A molding machine according to any one of claims 2 to 6. comprising a plurality of strain measurement units respectively corresponding to the plurality of tie bars included in the mold clamping device;
The master data and the measurement data correspond to parallelism derived from measurement values by each of the plurality of strain measurement units,
The difference between the master data and the measurement data corresponds to the use change of the parallelism,
A molding machine according to claim 1. The master data and the measurement data correspond to the elapsed time from the time before the occurrence of the strain to the occurrence of the strain indicated by the measurement value by the strain measuring unit,
The pass/fail judgment unit
If the measurement data is shorter than the master data, determine no,
The control device is
stopping the operation of the molding machine when the result of determination by the pass/fail determination unit is the failure;
A molding machine according to claim 1. The pass/fail judgment unit applies at least two thresholds to the difference between the measurement data and the master data to judge pass, fail, and an intermediate state between the pass and the fail. ,
The control device is
outputting information or a warning when the determination result by the pass/fail determination unit is the intermediate state;
stopping the operation of the molding machine when the result of determination by the pass/fail determination unit is the failure;
A molding machine according to any one of claims 2 to 10. The control device is
a history data accumulation unit that accumulates the difference between the measurement data and the master data or the measurement data as history data corresponding to a molding cycle;
a healthy cycle number estimating unit for estimating the number of healthy cycles for which the pass/fail judgment unit continues to judge as good based on the rate of change of the history data with respect to the number of cycles;
The molding machine according to any one of claims 2-10 and 12. The molding machine corresponds to a die casting machine used for casting,
A molding machine according to any one of claims 1 to 13. A diagnostic program capable of diagnosing characteristic changes of a molding machine,
a master data registration unit for registering, in a predetermined setting area, master data relating to a measurement value of a strain of a tie bar to which tension is applied due to a mold clamping operation at a reference time when the characteristics of the molding machine are changed in use;
a pass/fail judgment unit that judges pass/fail by comparing measurement data relating to the strain measurement value after registration of the master data with the master data,
Molding machine diagnostic program. A molding method using a molding machine,
The control device used for quality judgment related to the molding machine includes:
a master data registration mode for registering in a predetermined setting area master data relating to the measurement value of the strain of the tie bar to which tension is applied along with the mold clamping operation;
clamping a fixed mold and a movable mold with the molding machine; supplying a material to an injection device; and injecting the material into a cavity formed by the fixed mold and the movable mold by the injection device. a step of applying pressure to the material filled in the cavity and holding the pressure, a step of opening the fixed mold and the movable mold, and a step of ejecting a product. and
The molding method is
performing the molding mode after performing the master data registration mode at the reference time of the change in use of the characteristics of the molding machine;
The molding method, wherein, in the molding mode, quality is determined by comparing measurement data relating to the measurement value of the strain with the master data.

Images